Browsing by Author "Valko, N. V."

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DISTANCE LEARNING TECHNOLOGIES IN INSTITUTION OF HIGHER EDUCATION BY MEANS OF LCMS MOODLE
(2020) Kushnir, N.; Osipova, N.; Valko, N. V.; Kuzmich, L. V.; Кушнір, Н. О.; Осипова, Н. В.; Валько, Н. В.; Кузьмич, Л. В.
Distance learning (DL) is one of the most rapidly expanding sectors in higher education today. Distance Learning Development requires a consistent solution to a number of important tasks in the field of regulatory, organizational, educational, technical, software and staffing, the interaction of all these elements of the DL system in the implementation of educational programs. One of the most important tasks in organizing distance learning is to define a scalable and viable strategy for creating an information and communication environment. The article presents a review of distance learning literature; the purposes, advantages, disadvantages. The experience of Kherson State University in the use of distance learning was summarized. Particular attention is paid to the implementation features of the KSUONLINE distance learning system developed on the basis of LMS Moodle. The educational courses and webinars were designed to introduce teachers to the principles of creating Distance courses and learn how to ensure effective communication between teachers and students. The research of the level of satisfaction of teachers with seminars to study the capabilities of the distance learning system KSUONLINE was conducted. The main problems associated with the introduction of distance education in Institution of Higher Education are analyzed in this paper. The factors that influence the development of distance learning in universities are identified.
INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH
(2023) Spivakovsky, O. V.; Omelchuk, S. A.; Kobets, V. V.; Valko, N. V.; Malchykova, D. S.; Співаковський, О. В.; Омельчук, С. А.; Кобець, В.; Валько, Н. В.; Мальчикова, Д. С.
Generative artificial intelligence is rapidly transforming the educational process and the scientific work of students, lecturers, researchers and administrators of higher education institutions. There are limited and contradictory recommendations for the use of artificial intelligence in the educational process and in the educational programmes of higher education institutions. To define the scope of AI application, there is a need to develop institutional policies for higher education institutions, which will allow the academic community to determine the appropriate scope of AI application in the educational process and prevent the use of AI in areas where ethical norms are violated. The purpose of the article is to summarise and systematise the experience of forming institutional policies for the application of artificial intelligence in education, training and research in higher education institutions using the experience of Kherson State University. The article presents the developed institutional policies for students, lecturers and researchers with recommended and not recommended initiatives for the use of AI in the educational process and research at Kherson State University. The purpose of these institutional policies was to create an inclusive environment of modern digital tools for involving of lecturers of non-professional specialties and define the framework for the use of artificial intelligence in education, teaching, and research of all subjects (participants) of educational activity. The recommendations are aimed at empowering all participants to select educational components creatively and at improving the efficiency of the educational process and research activities through the use of AI tools.Issues requiring further research regarding generative platforms lie in three thematic areas: knowledge base; transparency and ethics; digital transformation of organizations and societies. It is also relevant to create an educational environment that encourages the interaction and dissemination of positive practice of digital transformation of all participants of the educational process.
STUDIES OF IMPACT OF SPECIALIZED STEM TRAINING ON CHOICE FURTHER EDUCATION
(2020) Osadchyi, V. V.; Valko, N. V.; Kuzmich, L. V.; Abdullaeva, N.; Осадчий, В. В.; Валько, Н. В.; Кузьмич, Л. В.; Абдуллаєва, Н. П.
The specialized training influence to the choice of further direction of study is considered in the work. The assumption that early involvement of students in the study of natural and mathematical disciplines, in particular mathematics is given. It will stimulate young people to get STEM education in future. The essential element in future professional choice, development and formation is the issue of motivation for learning. It is important that modern students are gradually losing their incentive to study. Almost a third of those who choose the appropriate study profile have contradictions between professional self-determination and the availability of the necessary knowledge for the profession, between choosing a higher education institution and being able to enter in it. The contradiction requires purposeful formation of a conscious choice of future activities. The conducted research has shown that the basis of the motivational component of the choice of STEM-learning is studying of natural and mathematical disciplines by modern teaching technologies and organizing of additional lessons system based on the projected teaching methods. It satisfies the growing needs for intelligence, knowledge, motivational beliefs to understand the specifics of the future profession.
USING AUGMENTED REALITY TECHNOLOGIES FOR STEM EDUCATION ORGANIZATION
(2021) Osadchyi, V. V.; Valko, N. V.; Kuzmich, L. V.; Осадчий, В. В.; Валько, Н. В.; Кузьмич, Л. В.
Modernization of the education system and the emergence of innovative learning technologies can improve the educational process. The use of augmented reality technology improves the learning of individual students, their motivation, as well as helps in organizing teamwork, group cooperation. As the topic of augmented reality in education is quite new and little studied for STEM education, the study reviews publications on this topic, describes the concept of augmented reality, the analysis of augmented reality technologies is carried out, which are adapted to the teaching of natural and mathematical disciplines. The role of STEM approach with augmented reality in the educational process is determined. An example of the use of augmented reality as part of a robotics project is given.
ІНТЕРПРЕТАЦІЯ, МОДЕЛЬ, МЕТОДИ ДОВЕДЕНЬ ТА ДОСЛІДЖЕНЬ – ШЛЯХИ РЕАЛІЗАЦІЇ МІЖПРЕДМЕТНИХ ЗВ’ЯЗКІВ ПРИ ВИВЧЕННІ МАТЕМАТИКИ
(2019) Кузьмич, Л. В.; Валько, Н. В.; Kuzmich, L. V.; Valko, N. V.
Проаналізовано деякі твердження і поняття, що лежать в основі міжпредметних зв’язків при вивченні різних розділів вищої математики та прикладних наук. Розглянуто елементи найефективнішого засобу пізнання законів і закономірностей навколишнього світу - моделювання та деякі взаємозв’язки математичних моделей природознавства та економіки. Окреслено один із нових способів організації навчання - STEM-освіту для розв’язання завдання посилення підготовки учнів та студентів у галузі природничо-математичної освіти. Проанализированы некоторые утверждения и понятия, лежащие в основе межпредметных связей при изучении различных разделов высшей математики и прикладных наук. Рассмотрены элементы эффективного средства познания законов и закономерностей окружающего мира - моделирование и некоторые взаимосвязи математических моделей естествознания и экономики. Указано на один из новых путей организации обучения - STEM-образование для решения задачи усиления подготовки учащихся и студентов в области естественно-математического образования. In mathematical science with the axiomatic construction of various mathematical theories, three important concepts are closely related: interpretation, model, and proof. The study of the properties of the axiomatic theory takes place through interdisciplinary connections through the interpretation, model, various methods of evidence and research. Modern science is characterized by the intensive penetration of mathematical methods of research in various fields of scientific thought, in other fields of knowledge, in particular in natural sciences, economics, technology, social sciences and other sciences, from purely humanitarian disciplines to sociology, applied linguistics, and ecology. This article analyzes some of the assertions and concepts that underlie interdisciplinary connections in the study of various sections of higher mathematics and applied sciences. Elements of an effective means of knowledge of the laws of the world around the world are considered - modeling and some interconnections of mathematical models of science and economics. One of the new ways of teaching is outlined - STEM-education to address the problem of increasing the training of students and students in the field of natural and mathematical education, which contributes to the development of abilities for research, analytical work, experimentation and critical study. thinking. The STEM-oriented approach to learning contributes to promoting engineering and technology professions among young people, raising awareness of their career opportunities in technology and technology, and building a sustainable motivation to learn the disciplines on which STEM education is based. Implementation of STEM educational approaches in general education institutions requires systematic educational activities among teachers, development of readymade methods for carrying out occupations and scenarios of activities. The technical basis for such a study should be the use of IT technology, as the simulation process is carried out through a variety of specialized computer programs.